摘要
本文介绍了近几年来利用ANN可以任意精度逼近任意复杂的非线性函数的特性,所进行的传感器非线性静态特性模型辨识的研究,分析了各种模型与算法的特点及应用,提出了展望。
In this paper, the research findings of the model identification of transducer's non-linearity based on ANN have been introduced, and the characteristic of all kinds of the models and the learning algorithm and its application have been analyzed.The expectation has been advanced.
出处
《微计算机信息》
北大核心
2006年第01S期138-141,218,共5页
Control & Automation
基金
国家自然科学基金
No.69974017
60274020
关键词
神经网络
传感器
非线性静态特性
模型辨识
学习算法
artificial neural network (ANN)
transducer
static non-linearity
model identification
learning algorithm